Online Monitoring System Of Smart Grid Based On Fiber Grating

With the rapid development of our State Grid construction, electricity safety is becoming increasingly important. In recent years, ice calamity in South China has led to a devastating blow to the State Grid. At the same time with the transmission line voltage levels continuing improvement, it has become more and more difficult to maintain the operation of the power network by manual inspection. Many aspects, such as cost, safety and real-time performance can not meet the needs of the current power grid construction. So building a smart grid has become the vital of the next step of the grid construction. Most of the monitoring systems, which are widely used nowadays, are electronic sensing devices, such as cameras, three axis accelerator, etc. These systems are accuracy, but the use of which in electric power construction must face the problem of strong magnetic field interference, poor weather conditions and the lack of stable power supply. Compared with the traditional electronic sensing technology, optical fiber sensing technology has many characteristics, which are electrical insulation, anti electromagnetic interference, small volume and high sensitivity. Fiber grating sensing technology has been improved and perfect, which has been widely used in bridge and tunnel building project, but the cases of grid monitoring are few. But with the increasing use of the fiber optic cable in the power grid, the operation of fiber grating sensing method for the real-time monitoring of power grid has become possible.Firstly, the feasibility of using fiber grating technology in transmission line based on fiber grating sensing principle is proved in this paper. The experimental results show that the temperature compensation method can effectively remove the influence of temperature on the stress measurement of grating. Secondly, the system software, to realize the monitoring algorithm of the ice warning, is combined in the research; and the system software is introduced from the software modeling in detail. Finally, the feasibility and accuracy of the sensor is demonstrated from the practical application, second package of the sensor and the actual operation.